G. Nagel

707 citations
13 papers · 597 indexed · h-index 11

Impact in

Papers in

G. Nagel

13 papers receiving 581 citations

Peers

G. Nagel
Comparison fields: 5 of 61
  • Immunology and Allergy 132
  • Hematology 149
  • Immunology 276
  • Microbiology 49
  • Radiology, Nuclear Medicine and Imaging 171
Replace Françoise Aubrit with:
Françoise Aubrit France
S. Craig Stocks United Kingdom
Steffen Schiffer Germany
R G Cook United States
Fleur François United States
L Mayo-Bond United States
Valerie Zbrzezna United States
KL Moore United States
H Yagita Japan
K Jacobsen Canada
G. Nagel relative to Françoise Aubrit France Françoise Aubrit's profile →
Citations per field
00.5×3.5×
Françoise Aubrit · 1×
Citations per year

Countries citing papers authored by G. Nagel

Since Specialization
Citations

This map shows the geographic impact of G. Nagel's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by G. Nagel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Nagel more than expected).

Fields of papers citing papers by G. Nagel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Nagel. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by G. Nagel. The network helps show where G. Nagel may publish in the future.

Co-authors

The 25 scholars most cited alongside G. Nagel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with G. Nagel Line = papers co-authored together G. Nagel links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 19994
2 1996112
3
Allospecific CD4+, Th1/Th2 and CD8+, Tc1/Tc2 populations in murine GVL: type I cells generate GVL and type II cells abrogate GVL.
199649
4 199617
5 19958
6 199512
7
Expression of the CEA gene family members NCA-50/90 and NCA-160 (CD66) in childhood acute lymphoblastic leukemias (ALLs) and in cell lines of B-cell origin.
199424
8 199356
9 199337
10 199322
11 1992140
12 199158
13 198758

About G. Nagel

G. Nagel is a scholar working on Immunology and Allergy, Radiology, Nuclear Medicine and Imaging, Hematology, Immunology and Reproductive Medicine, having authored 13 papers that have together received 597 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), Cell Adhesion Molecules Research (4 papers), Immunotherapy and Immune Responses (3 papers), Glycosylation and Glycoproteins Research (3 papers), Complement system in diseases (2 papers), RNA Interference and Gene Delivery (2 papers), Hematopoietic Stem Cell Transplantation (2 papers) and Radiopharmaceutical Chemistry and Applications (2 papers). The work is most often cited by research in Immunology and Allergy (132 citations), Hematology (149 citations), Immunology (276 citations), Microbiology (49 citations) and Radiology, Nuclear Medicine and Imaging (171 citations). G. Nagel has collaborated with scholars based in Germany, United Kingdom and Netherlands. Frequent co-authors include Fritz Grunert, Taco W. Kuijpers, C. Ellen van der Schoot, Michael Eckhaus, Daniel H. Fowler, Ronald E. Gress, Dirk Roos, M Hoogerwerf, Luc J. W. van der Laan and Fritz Grunert. Their work appears in journals such as International Journal of Cancer, The Journal of Cell Biology, The Journal of Immunology, British Journal of Haematology and Journal of Leukocyte Biology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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